Detection of Unsaturated Disaccharides, Pyridinoline, and Hydroxyproline in Urine of Patients with Kashin-Beck Disease: Comparison with Controls in an Endemic Area
Bibliographic record
Abstract
OBJECTIVE: To investigate the pathologic status of adult patients with Kashin-Beck disease (KBD) in an endemic area of China through detection of 5 biochemical markers in their urine, and to study the correlations between these markers and KBD. METHODS: A total of 55 patients with KBD over age 40 years were recruited and divided into groups, Grade 1 and Grade 2, according to clinical diagnosis criteria for KBD and our inclusion criteria; 25 healthy persons were enrolled into a control group. The first-time urine of the 80 participants was collected in the morning. Three unsaturated disaccharides, pyridinoline (PYD), and hydroxyproline (HYP) were detected in urine samples with high performance liquid chromatography, ELISA, and a chemical kit. Mean levels of these markers were compared in the 3 groups. RESULTS: The mean concentrations of 3 unsaturated disaccharides and PYD in the Grade 2 group were significantly higher than levels in the Grade 1 group and controls (p<0.05). There was no significant difference between findings in the Grade 1 group and controls. Levels of 3 unsaturated disaccharides correlated with each other (p<0.01). The correlation coefficient between PYD and HYP was 0.470 (p<0.01). Except for HYP, the other markers all correlated with grade of KBD, rather than age or sex of subjects. CONCLUSION: The cartilage degradation of patients with Grade 2 KBD was more severe than that of Grade 1 patients and controls. The pathologic condition of Grade 1 patients was mild. Except for HYP, the markers we investigated specifically reflected the pathologic bone metabolism of adult patients with KBD. Trial registration number ChiCTR-TRC-00000140.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".